docs api

matthieutrs · matthieutrs · commit 806154514743 · 2025-07-19T12:08:17.000+02:00
diff --git a/docs/source/user_guide/physics/intro.rst b/docs/source/user_guide/physics/intro.rst
@@ -259,10 +259,10 @@ Another example is the :class:`deepinv.physics.PhysicsCropper` class, which pads
     >>> import deepinv as dinv
     >>> physics = dinv.physics.BlurFFT(img_size=(1, 16, 16), filter=dinv.physics.blur.gaussian_blur(.2))
     >>> x = torch.rand((1, 1, 18, 21))  # define an image 4 times smaller than the physics input size (scale = 2)
-    >>> new_physics = dinv.physics.PhysicsCropper(physics)  # define a padded physics
+    >>> new_physics = dinv.physics.PhysicsCropper(physics, crop=(2,5))  # define a padded physics
     >>> y = new_physics(x)  # compute the measurements with padding
     >>> print(y.shape)
-    torch.Size([1, 1, 32, 32])
+    torch.Size([1, 1, 16, 16])
     >>> Aty = new_physics.A_adjoint(y)  # compute the adjoint operator with padding
     >>> print(Aty.shape)
     torch.Size([1, 1, 18, 21])  # the output is the same size as the input image
